Perceptual MVDR-based unsupervised built-in speaker normalization for Kazakh speech recognition

Zhandos Yessenbayev, Umit Yapanel

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this work we present a novel approach to unsupervised speaker normalization on top of the Perceptual MVDR-based Built-in Speaker Normalization technique. We showed that the proposed method can be efficient for the task of phonetic recognition on TIMIT and then applied it to Kazakh speech recognition. From the experiments, we see that this method is able to improve the relative performance of ASR systems up to 20%. The analysis of the optimal warp factor selection by the algorithm revealed a nice gender separation ability which may be used for gender/speaker classification tasks.

Original languageEnglish
Title of host publication8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479941209
DOIs
Publication statusPublished - 2014
Event8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Astana, Kazakhstan
Duration: Oct 15 2014Oct 17 2014

Other

Other8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014
CountryKazakhstan
CityAstana
Period10/15/1410/17/14

Keywords

  • Kazakh speech recognition
  • Phone recognition
  • Unsupervised speaker normalization

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems
  • Computer Networks and Communications

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    Yessenbayev, Z., & Yapanel, U. (2014). Perceptual MVDR-based unsupervised built-in speaker normalization for Kazakh speech recognition. In 8th IEEE International Conference on Application of Information and Communication Technologies, AICT 2014 - Conference Proceedings [7035914] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICAICT.2014.7035914